Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Biryani Dosa Revolution Famous Street Food Biryani Dosa Hindi Kahani Moral Stories New Comedy Video
1M
Views
5.1K
Likes
135
Comments
Opportunity for growth
Ganesh Laddu 10 Lakhs World's Biggest Laddu Sarpanch Bought Hindi Kahani Moral Stories Comedy Video
18.7K
Views
264
Likes
15
Comments
Analysis of 50 long-form videos
Biryani Dosa Revolution Famous Street Food Biryani Dosa Hindi Kahani Moral Stories New Comedy Video
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 4 main categories
Key performance indicators and trends
Entertainment dominates with 53% of content
Film has highest avg views
Entertainment shows strongest growth
Most used tags across 600 tag instances
12 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #bamboo cityTop 1 | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #bamboo villageTop 2 | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #river bamboo cityTop 3 | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #hindi kahani | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #hindi stories | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #hindi moral stories | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #comedy video | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #funny video | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #hindi comedy | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #funny comedy | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #moral stories | 50 | 167.2K | 0.68% | +0% | 8/100 |
| #bedtime stories | 50 | 167.2K | 0.68% | +0% | 8/100 |
Strategic recommendations and performance highlights
Top 5 by view count





Top 5 by like count





Top 5 by comment count





Top 5 by engagement rate





Peak performance metrics across all categories
Top performers across multiple categories



Performance analysis and recommendations